Sr Analyst-Revenue Management & Analytics

About the Role & Team

The Disneyland Resort Revenue Management & Analytics organization combines strategic and analytical thinking to drive commercial, financial, and operational value for Disney Parks by crafting business decisions in Ticketing, Resorts, Merchandise, Food & Beverage, as well as all other lines of business in the core proficiencies of yield management, forecasting, pricing, promotions, optimization, and other predictive analytic techniques using mathematical and statistical approaches.

We have a natural curiosity to understand the “why” behind business performance and take a proactive role in problem-solving. We are seeking someone who is results oriented, able to prioritize, and be a great teammate in a collaborative environment. The candidate will have strong communication, partnering, and proven experience with statistical/data science modeling, data visualization, and data manipulation. Come be part of this dynamic team!

This role reports to the Manager – Theme Park Yield Optimization.

What You Will Do

In this role, you will be a key player in our yielding efforts, managing the inventory allocations for the theme park reservation system. You will use analytics to optimize revenue and define our long-term revenue management strategies, and you’ll work closely with cross-functional teams to develop approaches to drive growth and meet site goals. If you are a highly organized self-starter with outstanding analytics skills whose persistence consistently delivers results, this role is an ideal opportunity to make an impact at The Walt Disney Company.

What you will do:

• Business Goal Achievement: Advise efficient inventory allocations by measuring the success of past decisions and providing science-based and actionable insights on future opportunities; manage day-to-day inventory allocation to ensure we are meeting our company goals.
• Data Visualization: Create and maintain data visualization dashboards using Tableau or similar tools to deliver insights and enable internal efficiencies.
• Data Management: Develop and maintain SQL queries and scripts for data analysis and reporting (join tables, group, and sort data, and pull relevant information from multiple data sources); continuously supervise data quality.
• Predictive Analysis & Advanced Modeling: Leverage mathematical and statistical techniques to develop predictive models that improve demand forecasts and prescriptive models that advise business decisions.
• Partner Collaboration: Collaborate within Revenue Management and across the organization (Commercial, Operations, Pricing, Finance, Forecasting, Industrial Engineering, and Technology & Digital).

Required Qualifications & Skills

• 2+ years of work experience in revenue management, industrial engineering, forecasting, pricing, or a similar analytical field
• Excellent data analysis skills with an eye towards identifying business trends to turn into actionable insights.
• Proficiency in acquiring and manipulating large amounts of data, applying sophisticated Microsoft Excel skills (including VBA), and leveraging scripting languages (SQL, python, etc.).
• Skilled in storytelling through data integration and visualization– professional experience with one or more data visualization tools (Tableau, Power BI, etc.).
• Excellent written and verbal communication skills, with the ability to shift between technical and non-technical terminology depending on the audience.
• Ability to follow through, meet deadlines, balance multiple priorities, and perform job responsibilities accurately.
• Strong sense of responsibility, ownership, and pride in delivering quality results and understanding the business impact.
• Relationship and communication skills to effectively build partnerships, including the ability to ask questions to gain understanding and influence others with differing points of view.
• Support for park yield strategy in real-time along our park operating hours, which includes occasional remote coverage during weekends, holidays, and outside business hours.

Preferred Qualifications

• Experience using statistical modeling, optimization, or data science techniques to drive business decisions and to advise new methodologies to steer strategy – hands-on experience with one or more modeling tools (R, Python, etc.)
• Prior experience with revenue management, forecasting, or pricing.
• Understanding of revenue management concepts (e.g., dilution, displacement).

Education

Minimum

• Bachelor’s degree or equivalent.

Preferred

• Masters' degree or equivalent in Data Science, Statistics, Computer Science, Industrial Engineering, or related quantitative field

The hiring range for this position in Anaheim is $101,800.00 to $124,400.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered